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Retrieval, RAG & Search — September 23, 2026

Findings

  1. [1] 2026-09-22 Agent Memory with Engram: A Practical Guide

    Every tool you've ever set up has an onboarding screen you just straight click past. Usually the defaults are chosen by someone who thought about them harder than you have time to. Engram's setup has one of those screens too,… That one line made the difference as it gives the model general criteria for what to ignore. I tested it with three new messages: a late train, a cat on the keyboard, and a stolen lunch, each paired with one… Zero memories created, two updated. UserKnowledge memories afterwards: [UserKnowledge] Prajjwal works as a developer advocate at Weaviate.[UserKnowledge] Prajjwal writes all his demos in Python.[UserKnowledge] Prajjwal no longer enforces his previous hard rule of keeping demos under 100 lines; as of… Memory search results can change every turn, and when you paste them into the system prompt, they sit in front of everything else. So the history behind them is almost never read from cache, and you pay for the whole… Before the breakpoint, for text that stays the same for the whole session. After the breakpoint, for text that changes every turn. Engram's two reads line up with them: fetch returns a whole topic without a query, search returns what…

Where Kimbodo Comes In

Kimbodo builds and operates this in production for businesses — see our RAG Development Services practice, or Estimate My RAG System.

Sources

  1. [1] Agent Memory with Engram: A Practical Guide

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